22 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at KINGS COLLEGE LONDON in United Kingdom
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‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with an interdisciplinary team of researchers as well as the Centre’s academic and community partners, as part of
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on computational modelling of the electrode/protein bioiterface. We are seeking highly motivated postdoctoral candidates willing to fully commit to an exciting, cutting-edge project. The skills we are looking
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for
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Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and
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tissues Knowledge of bioinformatics or computational analysis Evidence of successful collaboration in multidisciplinary projects Downloading a copy of our Job Description Full details of the role and the
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process
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will conduct cutting-edge research at the intersection of neuroimaging, genomics, and computational modelling, with a focus on child and adolescent mental health. The successful candidate will primarily
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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product design and operating on computer-aided design CAD software e.g. Fusion 3D Experience in additive manufacturing particularly vat polymerization. Downloading a copy of our Job Description Full details